5 citations · 15 across the 11 of their papers we have counts for
4 papers · 1 filter
Arbiters of Ambivalence: Challenges of Using LLMs in No-Consensus Tasks
Bhaktipriya Radharapu, Manon Revel, Megan Ung +2
The increasing use of LLMs as substitutes for humans in ``aligning'' LLMs has raised questions about their ability to replicate human judgments and preferences, especially in ambiv…
Chained Tuning Leads to Biased Forgetting
Megan Ung, Alicia Sun, Samuel J. Bell +3
Large language models (LLMs) are often fine-tuned for use on downstream tasks, though this can degrade capabilities learned during previous training. This phenomenon, often referre…
Debiasing Text Safety Classifiers through a Fairness-Aware Ensemble
Olivia Sturman, Aparna Joshi, Bhaktipriya Radharapu +2
Increasing use of large language models (LLMs) demand performant guardrails to ensure the safety of inputs and outputs of LLMs. When these safeguards are trained on imbalanced data…
ShieldGemma: Generative AI Content Moderation Based on Gemma
Wenjun Zeng, Yuchi Liu, Ryan Mullins +9
We present ShieldGemma, a comprehensive suite of LLM-based safety content moderation models built upon Gemma2. These models provide robust, state-of-the-art predictions of safety r…